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Stock Market Prediction

9 papers with code · Time Series

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Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model

5 Aug 2018imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid

Predicting the price correlation of two assets for future time periods is important in portfolio optimization.

PORTFOLIO OPTIMIZATION

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements

28 Oct 2016harishpuvvada/BitCoin-Value-Predictor

In this paper, we have applied sentiment analysis and supervised machine learning principles to the tweets extracted from twitter and analyze the correlation between stock market movements of a company and sentiments in tweets.

SENTIMENT ANALYSIS STOCK MARKET PREDICTION

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

7 Aug 2019dmis-lab/hats

Methods that use relational data for stock market prediction have been recently proposed, but they are still in their infancy.

GRAPH CLASSIFICATION NODE CLASSIFICATION STOCK PREDICTION

Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network

15 Nov 2018maobubu/stock-prediction

Stock market prediction is one of the most attractive research topic since the successful prediction on the market's future movement leads to significant profit.

STOCK TREND PREDICTION

Event Representation Learning Enhanced with External Commonsense Knowledge

IJCNLP 2019 MagiaSN/CommonsenseERL_EMNLP_2019

Prior work has proposed effective methods to learn event representations that can capture syntactic and semantic information over text corpus, demonstrating their effectiveness for downstream tasks such as script event prediction.

REPRESENTATION LEARNING STOCK MARKET PREDICTION

Discovering Bayesian Market Views for Intelligent Asset Allocation

27 Feb 2018fxing79/ibaa

Along with the advance of opinion mining techniques, public mood has been found to be a key element for stock market prediction.

OPINION MINING STOCK MARKET PREDICTION

Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction

COLING 2018 sudy/coling2018

The model uses a target-sensitive representation of the news abstract to weigh sentences in the news content, so as to select and combine the most informative sentences for market modeling.

INFORMATION RETRIEVAL STOCK MARKET PREDICTION

Twitter mood predicts the stock market

14 Oct 2010JeffreyJackovich/twitter_sentiment_analysis_and_correlated_trading_indicators

A Granger causality analysis and a Self-Organizing Fuzzy Neural Network are then used to investigate the hypothesis that public mood states, as measured by the OpinionFinder and GPOMS mood time series, are predictive of changes in DJIA closing values.

DECISION MAKING STOCK MARKET PREDICTION TIME SERIES

Forecasting directional movements of stock prices for intraday trading using LSTM and random forests

21 Apr 2020pushpendughosh/Stock-market-forecasting

Hence we outperform the single-feature setting in Fischer & Krauss (2018) and Krauss et al. (2017) consisting only of the daily returns with respect to the closing prices, having corresponding daily returns of 0. 41% and of 0. 39% with respect to LSTM and random forests, respectively.

STOCK MARKET PREDICTION